Online state of charge estimation for the aerial lithium-ion battery packs based on the improved extended Kalman filter method

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• 作者：Shunli Wang^a ; ^{wangshunli@swust.edu.cn} ; Carlos Fernandez^b ; Liping Shang^a ; Zhanfeng Li^c ; Jianchao Li^d
• 关键词：Aerial lithium-ion battery ; Improved extended kalman filter ; State of charge ; Optimal prediction ; Comprehensive estimation
• 刊名：Journal of Energy Storage
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：9
• 期：Complete
• 页码：69-83
• 全文大小：3340 K
• 卷排序：9

文摘

An effective method is proposed for the state of charge (SOC) estimation of aerial LIB packs. It is realized by using confidence calculation to evaluate the working status of LIB. The comprehensive estimation using the extended Kalman filter (EKF) together with the discharging and charging maintenance (DCM), implying the accurate SOC estimation. The method can effectively realize LIB remaining capacity check and security anticipation.